Machine Learning Engineering with GCP Experience (only W2 Position – No C2C Accepted)

Title: Machine Learning Engineering with GCP Experience (only W2 Position – No C2C Accepted)

Description: STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening forMachine Learning Engineering with GCP Experience.

Please note that this project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it.

Position Description:

1. Design, build, maintain, and optimize scalable ML and Gen AI pipelines, architecture, and infrastructure, including vector databases, embedding stores, and LLM serving layers
2. Use machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning methods, alongside prompt engineering, retrieval-augmented generation (RAG), and parameter-efficient fine-tuning (PEFT/LoRA) to develop and evaluate algorithms that improve product/system performance, quality, data management, and accuracy
3. Adapt machine learning and Gen AI capabilities to domains such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, intelligent document processing, and AI-powered agent workflows
4. Train, fine-tune, and re-train ML models and LLMs as required, including supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning
5. Deploy ML models, LLMs, and AI agents into production; run simulations and evaluations (including LLM evals and red teaming) for algorithm development and test various scenarios
6. Automate model deployment, training, re-training, and Gen AI pipeline orchestration, leveraging principles of agile methodology, CI/CD/CT, MLOps, and LLMOps — including guardrail integration, prompt versioning, and observability tooling
7. Enable model management for model versioning, traceability, and governance — including responsible AI practices, bias evaluation, hallucination mitigation, and content safety controls — to ensure modularity and consistency across environments for both ML and Gen AI systems

Skills Required:

* Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. * Proven experience in building and deploying RAG systems, including the use of **Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data manipulation and querying. * Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML. * Basic understanding and practical experience with Machine Learning model fine-tuning. * Familiarity with data engineering concepts and practices. * Expertise in prompt engineering techniques for interacting with LLMs. * Experience with the OpenAI SDK. * Experience developing robust APIs, preferably with **FastAPI**. * Proficiency with **version control systems (e.g., GIT) **. * Experience with **containerization technologies (e.g., Docker) **.

Skills Preferred:

Google Cloud Platform 1. Google Cloud Platform – Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.

Education Required:

• Bachelor's degree or equivalent qualification in computer science, engineering or related disciplines

Machine Learning Engineering with GCP Experience is based in Dearborn, MI. A great opportunity to experience the corporate environment leading personal career growth.

Resume Submittal Instructions: Interested/qualified candidates should email their word formatted resumes to Vasavi Konda – vasavi.konda(.@)stgit.com and/or contact @(Two-Four-Eight) Seven- One-Two – Six-Seven-Two-Five (@248.712.6725). In the subject line of the email please include: First and Last Name: Machine Learning Engineering with GCP Experience.

For more information about STG, please visit us at www.stgit.com.

Sincerely,

Vasavi Konda| Recruiting Specialist

“Opportunities don't happen, you create them.”

Systems Technology Group (STG)

3001 W. Big Beaver Road, Suite 500

Troy, Michigan 48084

Phone: @(Two-Four-Eight) Seven- One-Two – Six-Seven-Two-Five: @248.712.6725(O)

Email: vasavi.konda(.@)stgit.com